@inproceedings{34395,
  author       = {{Gräßler, Iris and Hieb, Michael and Roesmann, Daniel and Unverzagt, Marc}},
  editor       = {{Lohweg, Volker}},
  pages        = {{95--106}},
  publisher    = {{Springer Vieweg}},
  title        = {{{Creating Synthetic Training Data for Machine Vision Quality Gates}}},
  doi          = {{10.1007/978-3-662-66769-9_7 }},
  year         = {{2023}},
}

@inproceedings{52831,
  abstract     = {{Monitoring force-displacement or force-time curves is a widely used quality control technique in the field of mechanical joining. For online monitoring of self-piercing riveting, envelope curves are often used to define a tolerance zone for the measured setting force. However, the measurement uncertainty is typically not considered and the force curve of a joint can be wrongly rated as non-conform due to measurement errors and noise. In this article, we present a method for dynamical online filtering and uncertainty determination for noisy force curves using two types of Bayesian filters. The methodology is based on a Bayesian probability framework using a priori information for the process curve and sensor noise. To investigate the general feasibility of the method, force measurements with different noise levels are simulated and processed. The conformity is further assessed taking the uncertainty of the filtered signal into account. The results show that the Bayes filter technique is principally able to reduce noise for well-known characteristics of the process curve and sensor noise. Advantages over common filtering techniques, especially for experimental conditions with less known characteristics, are still to be verified. The methodology could be used in future for closed-loop controls to adapt process parameters dynamically. </jats:p>}},
  author       = {{Butzhammer, Lorenz and Kappe, Fabian and Meschut, Gerson and Hausotte, Tino }},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Dynamic conformity assessment for joining force monitoring using Bayes filters}}},
  doi          = {{10.21741/9781644902417-48}},
  year         = {{2023}},
}

@inproceedings{46974,
  author       = {{Gräßler, Iris and Hieb, Michael}},
  publisher    = {{CIRP }},
  title        = {{{Creating Synthetic Datasets for Deep Learning used in Machine Vision}}},
  year         = {{2023}},
}

@inproceedings{46219,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To select design guidelines engineers have to identify relevant from a bewildering amount of design guidelines. In this paper, a rule-based method for selecting design guidelines for material circularity selection is presented. For this purpose, a generic Product Life Cycle model is detailed with regard to Multi Material cycles (gPLC-MM). The presented method is divided into four steps. Core of the presented method is the comparison of circular product strategies with product life phases and material recovery processes. Engineering activities and increments of the product architecture are used to identify design guidelines. The results show that through the material circularity-oriented design guideline identification method, the product architecture is designed for different processes and technologies, to recover materials. The method allows engineers to select guidelines in a more targeted and consolidated way in sustainability-friendly product engineering.</jats:p>}},
  author       = {{Gräßler, Iris and Hesse, Philipp}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  keywords     = {{Sustainability, Circular economy, Conceptual design}},
  location     = {{Bordeaux, France}},
  pages        = {{1077--1086}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{CONSIDERING ENGINEERING ACTIVITIES AND PRODUCT CHARACTERISTICS TO ACHIEVE MATERIAL CIRCULARITY BY DESIGN}}},
  doi          = {{10.1017/pds.2023.108}},
  volume       = {{3}},
  year         = {{2023}},
}

@inproceedings{52839,
  author       = {{Gräßler, Iris and Hieb, Michael and Roesmann, Daniel and Unverzagt, Marc and Pottebaum, Jens}},
  booktitle    = {{SSRN Electronic Journal}},
  issn         = {{1556-5068}},
  keywords     = {{General Earth and Planetary Sciences, General Environmental Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Virtual learning environment for teaching the handling of collaborative robots}}},
  doi          = {{10.2139/ssrn.4471596}},
  year         = {{2023}},
}

@inproceedings{46973,
  author       = {{Gräßler, Iris and Hieb, Michael}},
  booktitle    = {{Automation 2023}},
  pages        = {{765--776}},
  publisher    = {{VDI Verlag }},
  title        = {{{Cloud-Computing für die Verwendung synthetischer Trainingsdaten für Machine Vision Quality Gates}}},
  doi          = {{10.51202/9783181024195-765}},
  volume       = {{2419}},
  year         = {{2023}},
}

@article{52828,
  author       = {{Brüning, Florian and Kleinschmidt, Dennis and Petzke, J.}},
  issn         = {{https://doi.org/10.3390/polym15224406}},
  journal      = {{Polymers}},
  pages        = {{1--23}},
  title        = {{{Wall Slip-Free Viscosity Determination of Filled Rubber Compounds Using Steady-State Shear Measurements}}},
  doi          = {{https://doi.org/10.3390/polym15224406}},
  year         = {{2023}},
}

@article{52833,
  author       = {{Schöppner, Volker and Austermeier, Laura and Brüning, Florian and Oldemeier, Jan Philipp and Brandt, O.}},
  issn         = {{2190-4774}},
  journal      = {{EXTRUSION}},
  number       = {{8/2023}},
  pages        = {{56--59}},
  title        = {{{Recycling-Ansatz für mehrkomponentige Kunststoffprodukte durch thermische Verbundtrennung}}},
  year         = {{2023}},
}

@inproceedings{52840,
  author       = {{Schöppner, Volker and Arndt, Theresa}},
  booktitle    = {{76th Annual Assembly of the International Institute of Welding (IIW)}},
  title        = {{{Anvil-free ultrasonic welding for welding situations with one sided access}}},
  year         = {{2023}},
}

@article{52836,
  author       = {{Brüning, Florian and Kleinschmidt, Dennis and Petzke, J.}},
  journal      = {{Kunststoffland NRW Report}},
  number       = {{03/2023}},
  pages        = {{28--29}},
  title        = {{{Elastomerrecycling mittels Mikrowellenstrahlung}}},
  year         = {{2023}},
}

@article{52837,
  author       = {{Moritzer, Elmar and Kartelmeyer, S. and Kringe, R. and Jaroschek, C.}},
  journal      = {{Plastics Insights}},
  number       = {{8/2023}},
  pages        = {{44--48}},
  title        = {{{Conformal Cooling at Low Cost}}},
  year         = {{2023}},
}

@inproceedings{52816,
  abstract     = {{Manufacturing companies face the challenge of reaching required quality standards. Using
optical sensors and deep learning might help. However, training deep learning algorithms
require large amounts of visual training data. Using domain randomization to generate synthetic
image data can alleviate this bottleneck. This paper presents the application of synthetic
image training data for optical quality inspections using visual sensor technology. The results
show synthetically generated training data are appropriate for visual quality inspections.}},
  author       = {{Gräßler, Iris and Hieb, Michael}},
  booktitle    = {{Lectures}},
  keywords     = {{synthetic training data, machine vision quality gates, deep learning, automated inspection and quality control, production control}},
  location     = {{Nuremberg}},
  pages        = {{253--524}},
  publisher    = {{AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}},
  title        = {{{Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}}},
  doi          = {{10.5162/smsi2023/d7.4}},
  year         = {{2023}},
}

@inproceedings{46450,
  author       = {{Gräßler, Iris and Preuß, Daniel and Brandt, Lukas and Mohr, Michael}},
  booktitle    = {{Proceedings of the Design Society}},
  location     = {{Bordeaux}},
  pages        = {{1595--1604}},
  title        = {{{Efficient Formalisation of Technical Requirements for Generative Engineering}}},
  doi          = {{10.1017/pds.2023.160}},
  year         = {{2023}},
}

@inproceedings{52821,
  abstract     = {{Due to economic and ecological framework conditions, a resource-saving utilization of raw materials and energy is becoming increasingly important in particular in the mobility sector. For the reduction of moving masses and the resources consumed, lightweight construction technologies are part of modern production processes in vehicle manufacturing, for example in the form of multi-material systems. Challenging in the manufacture of multi-material systems especially in view of changing supply chains is the variety of materials and geometries that bring conventional joining processes to their limits. Therefore, new processes are required, which can react versatile to process and disturbance variables. A widely used industrial joining process is semi-tubular self-piercing riveting, which is however a rigid process. To increase the versatility, the two newly established processes multi-range self-piercing riveting and tumbling self-piercing riveting are combined and the capabilities for targeted material flow control are united. Therefore, an innovative two-stage process based on the combination is introduced in this paper. The rivet is set with the multi-range self-piercing riveting process with an overlap of the rivet head and then formed by a tumbling process. Further, a specific adaptation of the tumbling strategy is used to investigate the possibility of reducing cracks in the rivet head. Thereby, different tumbling strategies are used and similar geometric joint formations are achieved to compare the results. </jats:p>}},
  author       = {{Wituschek, Simon and Kappe, Fabian and Meschut, Gerson and Lechner, Michael}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Combination of versatile self-piercing riveting processes}}},
  doi          = {{10.21741/9781644902417-16}},
  year         = {{2023}},
}

@phdthesis{50449,
  abstract     = {{The importance of fiber-reinforced plastics for lightweight construction applications is steadily increasing due to their outstanding weight-specific property values. However, a decisive disadvantage of these composite materials has so far been the high material and process costs, which is why fiber-reinforced plastics are almost exclusively used in small to medium-sized series. Optimization of manufacturing methods is of great importance to reduce the production cost. In this study, two concepts are proposed that can optimize vacuum assisted light resin transfer molding (VA-LRTM) further, leading to a possibility of fully automatic process. Conventional VA-LRTM methods are used to produce complex fiber-reinforced plastics (FRP) and hybrid components. Traditional molds used to produce components via VA-LRTM are sealed using polymer materials to prevent the leakage of matrix system. The seals undergo tremendous amounts of thermal, chemical, and mechanical loadings. Thus, sealings must be replaced in short intervals. In the current study, a concept where sealing is achieved by accelerating the curing of matrix system itself with the help of heating elements and catalysts resulting in a self-sealing approach is proposed. Another concern is mold surface contamination during component production. To address this, a modified automatic cleaning technique based on ultrasonic cleaning was proposed which can be integrated into the production line with minimum modification. Both the proposed concepts were validated and optimized using experiments, simulations, and analytical approaches by producing metal-FRP hybrid shafts.}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad}},
  keywords     = {{fiber-reinforced plastics, resin transfer molding, composites}},
  title        = {{{Advances In RTM Manufacturing Of Metal-FRP Hybrids By Self-Sealing And In-Mold Cleaning Techniques}}},
  year         = {{2023}},
}

@inproceedings{45831,
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Stallmeister, Tim and Lückenkötter, Julian and Tröster, Thomas}},
  keywords     = {{Compression Molding, Glass Mat Thermoplastics, Hybrid Brake Pedal}},
  location     = {{Trondheim, Norway }},
  title        = {{{In-Mold Assembly of Hybrid GMT-Steel Brake Pedals by Compression Molding}}},
  year         = {{2023}},
}

@article{43437,
  abstract     = {{<jats:p>In virtual reality (VR), participants may not always have hands, bodies, eyes, or even voices—using VR helmets and two controllers, participants control an avatar through virtual worlds that do not necessarily obey familiar laws of physics; moreover, the avatar’s bodily characteristics may not neatly match our bodies in the physical world. Despite these limitations and specificities, humans get things done through collaboration and the creative use of the environment. While multiuser interactive VR is attracting greater numbers of participants, there are currently few attempts to analyze the in situ interaction systematically. This paper proposes a video-analytic detail-oriented methodological framework for studying virtual reality interaction. Using multimodal conversation analysis, the paper investigates a nonverbal, embodied, two-person interaction: two players in a survival game strive to gesturally resolve a misunderstanding regarding an in-game mechanic—however, both of their microphones are turned off for the duration of play. The players’ inability to resort to complex language to resolve this issue results in a dense sequence of back-and-forth activity involving gestures, object manipulation, gaze, and body work. Most crucially, timing and modified repetitions of previously produced actions turn out to be the key to overcome both technical and communicative challenges. The paper analyzes these action sequences, demonstrates how they generate intended outcomes, and proposes a vocabulary to speak about these types of interaction more generally. The findings demonstrate the viability of multimodal analysis of VR interaction, shed light on unique challenges of analyzing interaction in virtual reality, and generate broader methodological insights about the study of nonverbal action.</jats:p>}},
  author       = {{Klowait, Nils}},
  issn         = {{2578-1863}},
  journal      = {{Human Behavior and Emerging Technologies}},
  keywords     = {{Human-Computer Interaction, General Social Sciences, Social Psychology, Virtual Reality : Multimodality, Nonverbal Interaction, Search Sequence, Gesture, Co-Operative Action, Goodwin, Ethnomethodology}},
  pages        = {{1--15}},
  publisher    = {{Hindawi Limited}},
  title        = {{{On the Multimodal Resolution of a Search Sequence in Virtual Reality}}},
  doi          = {{10.1155/2023/8417012}},
  volume       = {{2023}},
  year         = {{2023}},
}

@article{45599,
  abstract     = {{<jats:p>We investigate how people with atypical bodily capabilities interact within virtual reality (VR) and the way they overcome interactional challenges in these emerging social environments. Based on a videographic multimodal single case analysis, we demonstrate how non-speaking VR participants furnish their bodies, at-hand instruments, and their interactive environment for their practical purposes. Our findings are subsequently related to renewed discussions of the relationship between agency and environment, and the co-constructed nature of situated action. We thus aim to contribute to the growing vocabulary of atypical interaction analysis and the broader context of ethnomethodological conceptualizations of unorthodox and fractured interactional ecologies.</jats:p>}},
  author       = {{Klowait, Nils and Erofeeva, Maria}},
  issn         = {{2446-3620}},
  journal      = {{Social Interaction. Video-Based Studies of Human Sociality}},
  keywords     = {{General Medicine}},
  number       = {{1}},
  publisher    = {{Det Kgl. Bibliotek/Royal Danish Library}},
  title        = {{{Halting the Decay of Talk}}},
  doi          = {{10.7146/si.v6i1.136903}},
  volume       = {{6}},
  year         = {{2023}},
}

@inproceedings{52832,
  author       = {{Weller, Julian and Roesmann, Daniel and Eggert, Sönke and von Enzberg, Sebastian and Gräßler, Iris and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  keywords     = {{General Medicine}},
  pages        = {{514--520}},
  publisher    = {{Elsevier BV}},
  title        = {{{Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics}}},
  doi          = {{10.1016/j.procir.2023.01.011}},
  volume       = {{119}},
  year         = {{2023}},
}

@article{53078,
  abstract     = {{In spray-flame synthesis of nanoparticles, a precise understanding of the reaction processes is necessary to find optimal process parameters for the formation of the desired products. Coupling the chemistries of flame, solvent, and gas-phase species initially formed from the particle precursor in combination with the complex flow geometry of the spray flame means a special challenge for the modeling of the reaction processes. A new burner has been developed that is capable to observe the reaction of precursor solutions frequently used in spray-flame synthesis. The burner provides an almost flat, laminar, and steady flame with homogeneous addition of a fine aerosol and thus enables detailed investigation and modeling of the coupled reactions inde-pendent of spray formation and turbulent mixing. With its two separate supply channel matrices, the burner also enables the use of reactants that would otherwise react with each other already before reaching the flame. These features enable the investigation of a wide range of flame-based synthesis methods for nanoparticles and, due to the flat-flame geometry, kinetics models for these processes can be developed and validated. This work describes the matrix burner development and its gas flow optimization by simulation. Droplet-size dis-tributions generated by ultrasonic nebulization and their interaction with the burner structure are investigated by phase-Doppler anemometry. As an example for nanoparticle-for ming flames from solutions, iron-oxide nanoparticle-generating flames using iron(III) nitrate nonahydrate dissolved in 1-butanol were investigated. This effort includes measurements of two-dimensional maps of the flame temperature by a thermocouple and height-dependent concentration profiles of the main species by time-of-flight mass spectrometry. Exper-imental data are compared with 1D simulations using a reduced reaction mechanism. The results show that the new burner is well suited for the development of reaction models for precursors supplied in the liquid phase usually applied in spray-flame synthesis configurations.& COPY; 2022 The Combustion Institute. Published by Elsevier Inc. All rights reserved.}},
  author       = {{Apazeller, Sascha and Gonchikzhapov, Munko and Nanjaiah, Monika and Kasper, Tina and Wlokas, Irenäus and Wiggers, Hartmut and Schulz, Christof}},
  issn         = {{1540-7489}},
  journal      = {{Proceedings of the Combustion Institute}},
  keywords     = {{Physical and Theoretical Chemistry, Mechanical Engineering, General Chemical Engineering}},
  number       = {{1}},
  pages        = {{909--918}},
  publisher    = {{Elsevier BV}},
  title        = {{{A new dual matrix burner for one-dimensional investigation of aerosol flames}}},
  doi          = {{10.1016/j.proci.2022.07.166}},
  volume       = {{39}},
  year         = {{2023}},
}